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Lightning AI

Cloud-based AI development and deployment platform

Senior Technical Recruiter

Technical RecruitingPosted on Nov 10
Full-time

About the Job

Requirements

  • At least 5 years of full-cycle technical recruiting experience.
  • Experience recruiting software engineers, infrastructure engineers, or related technical roles.
  • Experience developing sourcing strategies and managing candidate pipelines.
  • Experience analyzing recruiting metrics and applying findings to recruiting plans or process improvements.
  • Experience establishing or maintaining structured interviews and consistent evaluation criteria.
  • Experience advising hiring managers using recruiting data and talent market information.
  • Ability to manage multiple searches, communicate changes in priorities, and track deliverables.

Responsibilities

  • Manage full-cycle recruiting for engineering, infrastructure, cloud, and related technical positions.
  • Partner with hiring managers to define job requirements, hiring priorities, interview plans, and recruiting timelines.
  • Develop sourcing strategies informed by role requirements, candidate pipeline data, and talent market research.
  • Track pipeline conversion, time-to-hire, offer acceptance, and sourcing effectiveness, and recommend actions based on findings.
  • Establish consistent intake, interview, and candidate evaluation practices using job-related criteria.
  • Present market information, pipeline risks, and hiring tradeoffs to stakeholders.
  • Coordinate candidate communication, interview feedback, and offer processes.
  • Identify workflow gaps and implement process improvements, including appropriate automation and AI-enabled tools.

About the Company

Lightning AI

Cloud-based AI development and deployment platform

Lightning AI builds a cloud-based platform for AI development that covers the full lifecycle from ideation to deployment. It provides a browser-based environment called AI Studio, a virtual laptop with persistent storage and configurable environments, enabling users to code on CPUs, debug on GPUs, and scale to multi-node deployments without local setup. The platform supports tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics to help data scientists and developers prototype, train on GPUs, and optimize models. Pricing is subscription-based, targeting enterprises and individual developers who need robust, scalable AI development capabilities. The goal is to streamline AI creation and deployment by simplifying access to compute, tooling, and scalable infrastructure in one cloud-based workspace.

Company size
201-500
Company stage
Late Stage VC
Total funding
$108.6M
Headquarters
New York City, New York
Founded
2015

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